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We are looking for an Electrical Design Validation Engineer to join our team, who will design, build, and test prototype electrical systems and validation systems for future consumer VR and AR experiences.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Bedrock: Model Architecture and Optimization, Application Integration, agent creation and orchestration. - LLM models: Using GPT and Claude models, Text Generation and Manipulation, Prompt Tuning and Orchestration, Model Fine Tuning.
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Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. PhD in AI, computer science, data science, applied math or related technical fields.
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Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. As a Principal Applied Scientist, you are a trusted part of the technical leadership.
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Plus experience in working with Platform Events, Force.com Bulk API and the Metadata API Implementation knowledge of Flow, App Builder, Process Builder, validation rule, approval process, reports and dashboards Experience using Apex Data Loader (or other ETL tools like Informatica or Boomi or Cast Iron or Mulesoft) Experience with database development, SQL or PL/SQL, database schemas, stored procedures is a plus.
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The EPM organizes the necessary team members and resources moving the product from early concept, through requirements, industrial design, detailed hardware engineering (mechanical, electrical, RF), manufacturing validation, reliability testing, industry certifications, to T-Mobile lab testing, with a clear focus on driving products to a successful completion.
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Perform the tasks needed to repair dies, including clean components, change out cracked or damaged tooling, sharpen and shim, weld, grind, cut hardened components, inspect and sharpen trims, punch, and die steels, polish forms, prep backup and changeover tooling before it goes to the crib, and check parts on the fixture, and spot the detail back into a part or model of what the block shape should be.
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As a result, he started Nurses PRN in 1995 to become a model for the healthcare staffing industry – being competitive in the marketplace, yet still maintaining a compassionate heart. PRN Healthcare is seeking a per diem / prn nurse RN Med Surg for a per diem / prn nursing job in Green Bay, Wisconsin.
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Our Customer Service Representatives contribute to the strength of our Team Medicine approach to collaborative medicine and benefit from the changes enacted through our Virginia Mason Production System, a model that has transformed health care by providing patients with easier access to care, reducing errors, and continuously innovating patient safety and quality that has been adopted by other organizations here and abroad.
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Engage with customers, field and customer success teams to drive customer-first experiences, get customer and research validation to help inform our roadmap, drive clarity and alignment. Experience building and working with product technology in at least one of the following areas: data connectivity, data integration, DMP, Data Warehouse and proven understanding of cloud services.
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Need to have solid foundations in Apigee Hybrid & X Deployment model. Cassandra database management (Apache, shipped along with Apigee Hybrid) Need to have solid foundations in Apigee Hybrid & X Deployment model.
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The Senior Data Scientist will be responsible for data identification, data preparation, model selection and model creation, as well as preparing reports of findings and presenting them to company executives.
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What the ideal candidate looks like:Responsibilities:Architect, build and scale a Machine Learning Platform that powers a state of the art ML model lifecycle management experience to users across Max, HBO, Discovery+ and other WBD offerings.
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Analyze large datasets to extract actionable insights and refine model inputs, including forecasts and cost structures. large-scale dynamic inventory placement model. strong Staff Data Scientist.
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model validation jobs Title: applied scientist in Bellevue, Windsor-mill, Maryland
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